Digital Revolution in Spatial Planning: The Potential of Geolocation Data in Czechia

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dc.contributor.authorJirasek, Petrcs
dc.contributor.authorŠomplák, Radovancs
dc.coverage.issue5cs
dc.coverage.volume9cs
dc.date.accessioned2025-07-17T12:58:57Z
dc.date.available2025-07-17T12:58:57Z
dc.date.issued2025-05-07cs
dc.description.abstractThis article analyzes population movement patterns in the Vyso & ccaron;ina Region, Czechia, using mobile network geolocation data. Geolocation data provide new insights into population movement and structure, capturing real-time fluctuations in population size at different times of day and days of the week. The article aims to contribute to a better understanding of spatiotemporal population dynamics and identify links between movement patterns and different types of areas. Key mobility trends, such as work commuting, seasonal migration related to second homes and tourism, and the influence of urbanization on movement patterns, are identified. A scaling approach for categorizing municipalities based on their characteristics is proposed and tested in a case study of Vyso & ccaron;ina Region municipalities. Furthermore, a case study of various municipality types demonstrates the practical application of geolocation data in spatial planning. The results highlight the value of these data for spatial planning, enabling a better understanding of population needs and optimization of public services and infrastructure.en
dc.formattextcs
dc.format.extent1-25cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationUrban Science. 2025, vol. 9, issue 5, p. 1-25.en
dc.identifier.doi10.3390/urbansci9050158cs
dc.identifier.issn2413-8851cs
dc.identifier.orcid0000-0002-5714-4537cs
dc.identifier.other198169cs
dc.identifier.researcheridQ-9462-2017cs
dc.identifier.scopus55515602000cs
dc.identifier.urihttps://hdl.handle.net/11012/255200
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofUrban Sciencecs
dc.relation.urihttps://www.mdpi.com/2413-8851/9/5/158cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2413-8851/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectpopulation dynamicsen
dc.subjecttypology of municipalitiesen
dc.subjectspatial planningen
dc.subjectinfrastructure planningen
dc.subjectmobile dataen
dc.subjectbig dataen
dc.titleDigital Revolution in Spatial Planning: The Potential of Geolocation Data in Czechiaen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-198169en
sync.item.dbtypeVAVen
sync.item.insts2025.07.17 14:58:57en
sync.item.modts2025.07.17 14:33:08en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav procesního inženýrstvícs
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